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Performance Metrics used in acceptance tests

These are the metrics I use in acceptance tests for a new implementation of a database server. I’ve got specific tests within each acceptance test

 1)Maximum  Rate – Defined as the ability of SQL Server to process data for a standard CPU \ Server Combination and SQL Query.It is important apply this consistently in all testing.  

2)Benchmark Rate – Ability of SQL Server to process data for a specific CPU and Server combination with a user workload. Implement the workload either via customised scripts or use a load testing tool – such as JMeter . Read this post for TPC-H generate test data , test queries and sql database benchmark 

3)User Storage Data Capacity – Define the maximum  available SQL Server storage for a standard level of compression and disk  .I normally allow 25% capacity for DBA tasks. This is environment specific and needs to be defined by the DBA


Author: Jack Vamvas (http://www.sqlserver-dba.com)

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